Divergence of a Curl - Then Integrate By Parts

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Homework Help Overview

The discussion revolves around proving the identity ∫B·(∇×A)dV = ∫A·(∇×B)dV using integration by parts. The context involves vector calculus, specifically the properties of curl and divergence in three-dimensional space, with the functions A(r) and B(r) vanishing at infinity.

Discussion Character

  • Exploratory, Mathematical reasoning, Assumption checking

Approaches and Questions Raised

  • Participants discuss breaking down the problem into Cartesian components and express challenges with integration by parts, particularly with handling partial derivatives and volume elements. Some suggest using vector identities and the divergence theorem to simplify the problem.

Discussion Status

There is an ongoing exploration of different methods to approach the problem, including direct integration by parts and the use of the divergence theorem. Some participants express uncertainty about the implications of their approaches, while others provide insights into vector calculus concepts relevant to the discussion.

Contextual Notes

One participant notes a lack of familiarity with Cartesian tensors, which limits their approach. The discussion also highlights the assumption that the surface integral at infinity is zero, as well as the relevance of the Gauß-Ostrogradskii theorem in transforming volume integrals into surface integrals.

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Homework Statement


∫Bdot[∇×A]dV=∫Adot[∇×B]dV

Prove this by integration by parts. A(r) and B(r) vanish at infinity.


Homework Equations


I'm getting stuck while trying to integrate by parts - I end up with partial derivatives and dV, which is dxdydz?


The Attempt at a Solution



I can break things down to Cartesian components, but integrating by parts is where I get stuck.

Essentially, I'm simplifying by stating the identity that
BdotCurlA - AdotCurlB = Div(A×B) = 0 in this case (Subtract right hand side from left and combine under one ∫dV)

The components look like this:
∂x(AyBz−AzBy)=(∂xAy)Bz+Ay(∂xBz)−(∂xAz)By−Az(∂xBy)
plus the y,z terms as well.

How would one integrate ∫[(∂xAy)Bz]dV by parts? I have Ay and Bz which are potentially functions of x,y,z and a partial wrt x, and dxdydz...

Thanks!
 
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Do you know cartesian tensors ? If so, the problem is trivial.

\iiint A_k \epsilon_{klm} \partial_{l}B_{m} dV = ...
 
Integrations by parts are equivalent to product rules.
use
\nabla \cdot (\mathbf{A} \times \mathbf{B}) = \mathbf{B} \cdot (\nabla \times \mathbf{A}) - \mathbf{A} \cdot (\nabla \times \mathbf{B})
and the divergence theorem to reduces the problem to showing a surface integral at infinity is zero.
 
dextercioby said:
Do you know cartesian tensors ? If so, the problem is trivial.

\iiint A_k \epsilon_{klm} \partial_{l}B_{m} dV = ...

No, we haven't studied those so I don't believe that's a path I can take.

lurflurf said:
Integrations by parts are equivalent to product rules.
use
\nabla \cdot (\mathbf{A} \times \mathbf{B}) = \mathbf{B} \cdot (\nabla \times \mathbf{A}) - \mathbf{A} \cdot (\nabla \times \mathbf{B})
and the divergence theorem to reduces the problem to showing a surface integral at infinity is zero.

I have used that identity to reduce the problem to ∫Div(A×B)=0

This reduces to:
∫[∂xAy*Bz-∂xAz*By+∂yAz*By-∂yAx*BZ+∂ZAx*By-∂zAy*Bx]dV
 
So I guess I'm wondering how to handle the partial derivatives inside the integrand. Take the first term for example:
∫∂/∂x(AyBz)dxdydz

Do the ∂x and dx cancel out?
 
No, no, no. Do you know about the Gauß-Ostrogradskii theorem ? It turns a volume integral into a surface integral.
 
Last edited:
Yes, but I was focused on the brute force of integration by parts method as opposed to using this theorem. I think I'm just going to go the easy route and use this method - hopefully I won't lose too many points!
 
You are doing vector integrals, you should use the vectors not their components, and you can use the Gauß-Ostrogradskii theorem in case of vectors.

<In vector calculus, the divergence theorem, also known as Gauss's theorem or Ostrogradsky's theorem,[1] is a result that relates the flow (that is, flux) of a vector field through a surface to the behavior of the vector field inside the surface.>

No reason to lose points.
 

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